Code Repository: Simulation-Based Robust Optimal Control with an Adaptive Multi-Grid Reinforcement Learning Framework

Welcome to the code repository associated with the paper titled:

• Title: Simulation-based robust optimal control using an adaptive multi-grid reinforcement learning framework
• Authors: Atish Dixit, Ahmed H. ElSheikh
• Affiliation: School of Energy, Geoscience, Infrastructure, and Society, Heriot-Watt University, Edinburgh, UK
• Journal: Mathematical Geosciences
• DOI: 10.1007/s11004-022-10033-x

This repository houses the simulations and result visualizations for two distinct case studies. These case studies are elaborated upon and showcased within Jupyter notebooks available in the respective folders:

• case 1
• case 2

Should there be any accessibility issues with certain notebooks on GitHub, we provide an alternative link for your convenience: Notebook Viewer

Feel free to explore and engage with these resources to gain insights into the realm of simulation-based robust optimal control through the lens of the adaptive multi-grid reinforcement learning framework.